Overview

Dataset statistics

Number of variables23
Number of observations52
Missing cells13
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory186.5 B

Variable types

Numeric23

Alerts

Year is highly overall correlated with Oil and 20 other fieldsHigh correlation
Oil is highly overall correlated with Year and 20 other fieldsHigh correlation
Natural gas is highly overall correlated with Year and 20 other fieldsHigh correlation
Coal is highly overall correlated with Year and 18 other fieldsHigh correlation
Hydroenergy is highly overall correlated with Year and 20 other fieldsHigh correlation
Nuclear is highly overall correlated with Year and 19 other fieldsHigh correlation
Firewood is highly overall correlated with Year and 18 other fieldsHigh correlation
Sugarcane and products is highly overall correlated with Year and 20 other fieldsHigh correlation
Other Primary_x000d_ is highly overall correlated with Year and 20 other fieldsHigh correlation
Total Primaries is highly overall correlated with Year and 20 other fieldsHigh correlation
Electricity is highly overall correlated with Year and 20 other fieldsHigh correlation
LPG is highly overall correlated with Year and 20 other fieldsHigh correlation
Gasoline/alcohol is highly overall correlated with Year and 20 other fieldsHigh correlation
Kerosene/jet fuel is highly overall correlated with Year and 19 other fieldsHigh correlation
Diesel oil is highly overall correlated with Year and 20 other fieldsHigh correlation
Fuel oil is highly overall correlated with Year and 17 other fieldsHigh correlation
Coke is highly overall correlated with Year and 20 other fieldsHigh correlation
Charcoal is highly overall correlated with NuclearHigh correlation
Gases is highly overall correlated with Year and 18 other fieldsHigh correlation
Other secondary is highly overall correlated with Year and 20 other fieldsHigh correlation
Non-energy is highly overall correlated with Year and 20 other fieldsHigh correlation
Total Secundaries is highly overall correlated with Year and 20 other fieldsHigh correlation
Total is highly overall correlated with Year and 20 other fieldsHigh correlation
Nuclear has 13 (25.0%) missing valuesMissing
Year is uniformly distributedUniform
Year has unique valuesUnique
Oil has unique valuesUnique
Natural gas has unique valuesUnique
Coal has unique valuesUnique
Hydroenergy has unique valuesUnique
Firewood has unique valuesUnique
Sugarcane and products has unique valuesUnique
Other Primary_x000d_ has unique valuesUnique
Total Primaries has unique valuesUnique
Electricity has unique valuesUnique
LPG has unique valuesUnique
Gasoline/alcohol has unique valuesUnique
Kerosene/jet fuel has unique valuesUnique
Diesel oil has unique valuesUnique
Fuel oil has unique valuesUnique
Coke has unique valuesUnique
Charcoal has unique valuesUnique
Gases has unique valuesUnique
Other secondary has unique valuesUnique
Total Secundaries has unique valuesUnique
Total has unique valuesUnique

Reproduction

Analysis started2023-07-30 07:32:29.625949
Analysis finished2023-07-30 07:34:38.806434
Duration2 minutes and 9.18 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

Year
Real number (ℝ)

HIGH CORRELATION  UNIFORM  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1995.5
Minimum1970
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:38.958449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1970
5-th percentile1972.55
Q11982.75
median1995.5
Q32008.25
95-th percentile2018.45
Maximum2021
Range51
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation15.154757
Coefficient of variation (CV)0.0075944662
Kurtosis-1.2
Mean1995.5
Median Absolute Deviation (MAD)13
Skewness0
Sum103766
Variance229.66667
MonotonicityStrictly increasing
2023-07-30T07:34:39.245175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1970 1
 
1.9%
1971 1
 
1.9%
1998 1
 
1.9%
1999 1
 
1.9%
2000 1
 
1.9%
2001 1
 
1.9%
2002 1
 
1.9%
2003 1
 
1.9%
2004 1
 
1.9%
2005 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1970 1
1.9%
1971 1
1.9%
1972 1
1.9%
1973 1
1.9%
1974 1
1.9%
1975 1
1.9%
1976 1
1.9%
1977 1
1.9%
1978 1
1.9%
1979 1
1.9%
ValueCountFrequency (%)
2021 1
1.9%
2020 1
1.9%
2019 1
1.9%
2018 1
1.9%
2017 1
1.9%
2016 1
1.9%
2015 1
1.9%
2014 1
1.9%
2013 1
1.9%
2012 1
1.9%

Oil
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71507.174
Minimum25664.25
Maximum110415.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:39.516203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum25664.25
5-th percentile35941.16
Q155609.43
median67048.1
Q390990.66
95-th percentile102748.27
Maximum110415.06
Range84750.81
Interquartile range (IQR)35381.23

Descriptive statistics

Standard deviation21762.287
Coefficient of variation (CV)0.30433711
Kurtosis-0.91614342
Mean71507.174
Median Absolute Deviation (MAD)18593.785
Skewness-0.18637133
Sum3718373
Variance4.7359711 × 108
MonotonicityNot monotonic
2023-07-30T07:34:39.750468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25664.25 1
 
1.9%
27222.25 1
 
1.9%
80916.11 1
 
1.9%
81990.42 1
 
1.9%
82957.81 1
 
1.9%
85959.38 1
 
1.9%
85324.39 1
 
1.9%
84915.84 1
 
1.9%
89008.45 1
 
1.9%
88865.89 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
25664.25 1
1.9%
27222.25 1
1.9%
32473.41 1
1.9%
38778.41 1
1.9%
41479.1 1
1.9%
45053.52 1
1.9%
47754.6 1
1.9%
49055.76 1
1.9%
52131.09 1
1.9%
53537.41 1
1.9%
ValueCountFrequency (%)
110415.06 1
1.9%
107825.83 1
1.9%
104551.98 1
1.9%
101272.51 1
1.9%
95524.29 1
1.9%
95478.81 1
1.9%
93340.78 1
1.9%
93289.82 1
1.9%
92786.17 1
1.9%
92710.32 1
1.9%

Natural gas
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12797.782
Minimum180.02
Maximum39028.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:40.006657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum180.02
5-th percentile337.783
Q11887.315
median5487.01
Q321346.68
95-th percentile37022.878
Maximum39028.9
Range38848.88
Interquartile range (IQR)19459.365

Descriptive statistics

Standard deviation13265.617
Coefficient of variation (CV)1.036556
Kurtosis-0.80642557
Mean12797.782
Median Absolute Deviation (MAD)4911.895
Skewness0.84067867
Sum665484.64
Variance1.7597661 × 108
MonotonicityNot monotonic
2023-07-30T07:34:40.285686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.02 1
 
1.9%
279.11 1
 
1.9%
6797.27 1
 
1.9%
7490.85 1
 
1.9%
9899 1
 
1.9%
12112.01 1
 
1.9%
13738.68 1
 
1.9%
14782.74 1
 
1.9%
17821.91 1
 
1.9%
19315.38 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
180.02 1
1.9%
279.11 1
1.9%
313 1
1.9%
358.06 1
1.9%
544.45 1
1.9%
605.78 1
1.9%
675.45 1
1.9%
810.55 1
1.9%
981.74 1
1.9%
1029.5 1
1.9%
ValueCountFrequency (%)
39028.9 1
1.9%
39013.72 1
1.9%
37844.16 1
1.9%
36350.92 1
1.9%
35820.42 1
1.9%
35816.07 1
1.9%
35480.43 1
1.9%
35013.39 1
1.9%
30121.2 1
1.9%
29816.53 1
1.9%

Coal
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10907.923
Minimum2235.39
Maximum18182.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:40.540659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2235.39
5-th percentile2303.8745
Q16129.375
median12534.97
Q315011.935
95-th percentile16850.164
Maximum18182.63
Range15947.24
Interquartile range (IQR)8882.56

Descriptive statistics

Standard deviation4939.2536
Coefficient of variation (CV)0.45281341
Kurtosis-1.0573151
Mean10907.923
Median Absolute Deviation (MAD)3095.39
Skewness-0.53456614
Sum567211.98
Variance24396226
MonotonicityNot monotonic
2023-07-30T07:34:40.788834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2235.39 1
 
1.9%
2294.86 1
 
1.9%
11309.06 1
 
1.9%
17300.07 1
 
1.9%
18182.63 1
 
1.9%
17755.25 1
 
1.9%
11408.92 1
 
1.9%
11347.61 1
 
1.9%
12723.35 1
 
1.9%
12565.83 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
2235.39 1
1.9%
2287.08 1
1.9%
2294.86 1
1.9%
2311.25 1
1.9%
2384.82 1
1.9%
2856.77 1
1.9%
3263.4 1
1.9%
3973.71 1
1.9%
4361.18 1
1.9%
4808.25 1
1.9%
ValueCountFrequency (%)
18182.63 1
1.9%
17755.25 1
1.9%
17300.07 1
1.9%
16482.06 1
1.9%
16292.16 1
1.9%
16006.7 1
1.9%
15917.21 1
1.9%
15767.8 1
1.9%
15691.72 1
1.9%
15477.68 1
1.9%

Hydroenergy
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21265.354
Minimum3421.52
Maximum36745.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:41.079586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3421.52
5-th percentile4697.6715
Q112799.355
median22337.045
Q331269.517
95-th percentile34341.533
Maximum36745.28
Range33323.76
Interquartile range (IQR)18470.162

Descriptive statistics

Standard deviation10203.648
Coefficient of variation (CV)0.47982499
Kurtosis-1.2292392
Mean21265.354
Median Absolute Deviation (MAD)9340.7
Skewness-0.2236102
Sum1105798.4
Variance1.0411444 × 108
MonotonicityNot monotonic
2023-07-30T07:34:41.336227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3421.52 1
 
1.9%
3713.63 1
 
1.9%
24997.63 1
 
1.9%
25187.92 1
 
1.9%
26168.19 1
 
1.9%
23028.12 1
 
1.9%
24536.48 1
 
1.9%
26238.99 1
 
1.9%
27520.13 1
 
1.9%
28946.38 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3421.52 1
1.9%
3713.63 1
1.9%
4356.82 1
1.9%
4976.55 1
1.9%
5646.13 1
1.9%
6214.2 1
1.9%
7127.67 1
1.9%
8036.06 1
1.9%
8832.62 1
1.9%
10021.87 1
1.9%
ValueCountFrequency (%)
36745.28 1
1.9%
35737.54 1
1.9%
34596.92 1
1.9%
34132.58 1
1.9%
34004.25 1
1.9%
33642.36 1
1.9%
33541.59 1
1.9%
33368.56 1
1.9%
32677.11 1
1.9%
32085.54 1
1.9%

Nuclear
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct39
Distinct (%)100.0%
Missing13
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean2074.5664
Minimum-0.02
Maximum4203.27
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)1.9%
Memory size548.0 B
2023-07-30T07:34:41.600210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.02
5-th percentile4.11
Q179.48
median3030.23
Q33807.725
95-th percentile4138.876
Maximum4203.27
Range4203.29
Interquartile range (IQR)3728.245

Descriptive statistics

Standard deviation1841.8287
Coefficient of variation (CV)0.88781379
Kurtosis-1.9658824
Mean2074.5664
Median Absolute Deviation (MAD)1149.47
Skewness-0.12800539
Sum80908.09
Variance3392332.8
MonotonicityNot monotonic
2023-07-30T07:34:41.840446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
-0.02 1
 
1.9%
3030.23 1
 
1.9%
2482.01 1
 
1.9%
3581.88 1
 
1.9%
3213.03 1
 
1.9%
3640.71 1
 
1.9%
3376.67 1
 
1.9%
3779.7 1
 
1.9%
4080.93 1
 
1.9%
4179.7 1
 
1.9%
Other values (29) 29
55.8%
(Missing) 13
25.0%
ValueCountFrequency (%)
-0.02 1
1.9%
2.58 1
1.9%
4.28 1
1.9%
16.18 1
1.9%
18.75 1
1.9%
30.77 1
1.9%
39.98 1
1.9%
46.77 1
1.9%
54.71 1
1.9%
68.81 1
1.9%
ValueCountFrequency (%)
4203.27 1
1.9%
4179.7 1
1.9%
4134.34 1
1.9%
4101.73 1
1.9%
4084.71 1
1.9%
4080.93 1
1.9%
4026.28 1
1.9%
4007.72 1
1.9%
3839.81 1
1.9%
3835.75 1
1.9%

Firewood
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28506.951
Minimum21489.13
Maximum33572.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:42.237415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21489.13
5-th percentile23503.985
Q125801.19
median28828.095
Q331818.298
95-th percentile33043.5
Maximum33572.69
Range12083.56
Interquartile range (IQR)6017.1075

Descriptive statistics

Standard deviation3356.4323
Coefficient of variation (CV)0.11774084
Kurtosis-1.1006134
Mean28506.951
Median Absolute Deviation (MAD)3001.875
Skewness-0.17841188
Sum1482361.4
Variance11265638
MonotonicityNot monotonic
2023-07-30T07:34:42.516855image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31851.53 1
 
1.9%
31807.22 1
 
1.9%
21489.13 1
 
1.9%
26034.43 1
 
1.9%
27126.29 1
 
1.9%
26396.7 1
 
1.9%
23885.45 1
 
1.9%
26264.33 1
 
1.9%
28107.89 1
 
1.9%
28311.33 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
21489.13 1
1.9%
21892.79 1
1.9%
23037.75 1
1.9%
23885.45 1
1.9%
24362.93 1
1.9%
24456.04 1
1.9%
24538.7 1
1.9%
24548.41 1
1.9%
24871.34 1
1.9%
25447.68 1
1.9%
ValueCountFrequency (%)
33572.69 1
1.9%
33339.56 1
1.9%
33153.94 1
1.9%
32953.14 1
1.9%
32924.95 1
1.9%
32776.82 1
1.9%
32765.98 1
1.9%
32598.64 1
1.9%
32565.18 1
1.9%
32143.13 1
1.9%

Sugarcane and products
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25958.092
Minimum3600.7
Maximum55650.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:42.792733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3600.7
5-th percentile4244.894
Q114626.415
median21841.81
Q343687.81
95-th percentile50813.092
Maximum55650.26
Range52049.56
Interquartile range (IQR)29061.395

Descriptive statistics

Standard deviation16371.674
Coefficient of variation (CV)0.63069634
Kurtosis-1.1588468
Mean25958.092
Median Absolute Deviation (MAD)12932.84
Skewness0.36286302
Sum1349820.8
Variance2.680317 × 108
MonotonicityNot monotonic
2023-07-30T07:34:43.196544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3600.7 1
 
1.9%
3841.81 1
 
1.9%
25155.22 1
 
1.9%
24575.26 1
 
1.9%
19894.6 1
 
1.9%
22800.11 1
 
1.9%
25271.78 1
 
1.9%
28348.27 1
 
1.9%
29367.05 1
 
1.9%
31354 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3600.7 1
1.9%
3841.81 1
1.9%
4179.51 1
1.9%
4298.39 1
1.9%
4618.65 1
1.9%
4644.41 1
1.9%
4748.01 1
1.9%
6538.73 1
1.9%
7321.94 1
1.9%
8254.13 1
1.9%
ValueCountFrequency (%)
55650.26 1
1.9%
52911.27 1
1.9%
50943.37 1
1.9%
50706.5 1
1.9%
50472.22 1
1.9%
49772.25 1
1.9%
49469.74 1
1.9%
49352.81 1
1.9%
49278.67 1
1.9%
48898.73 1
1.9%

Other Primary_x000d_
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6185.2788
Minimum223.24
Maximum28037.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:43.537954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum223.24
5-th percentile306.4625
Q11187.8975
median3046.135
Q38700.33
95-th percentile22061.834
Maximum28037.32
Range27814.08
Interquartile range (IQR)7512.4325

Descriptive statistics

Standard deviation7126.5668
Coefficient of variation (CV)1.152182
Kurtosis1.6010075
Mean6185.2788
Median Absolute Deviation (MAD)2530.65
Skewness1.5527371
Sum321634.5
Variance50787955
MonotonicityNot monotonic
2023-07-30T07:34:44.141651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223.24 1
 
1.9%
232.82 1
 
1.9%
3448.1 1
 
1.9%
3969.54 1
 
1.9%
4438.59 1
 
1.9%
4630.87 1
 
1.9%
5049.94 1
 
1.9%
5764.27 1
 
1.9%
5859.91 1
 
1.9%
6415.65 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
223.24 1
1.9%
232.82 1
1.9%
301.43 1
1.9%
310.58 1
1.9%
348.89 1
1.9%
362.61 1
1.9%
411.64 1
1.9%
470.39 1
1.9%
560.58 1
1.9%
821.72 1
1.9%
ValueCountFrequency (%)
28037.32 1
1.9%
24838.28 1
1.9%
22528.24 1
1.9%
21680.23 1
1.9%
19348.92 1
1.9%
17681.35 1
1.9%
16036.2 1
1.9%
14190.2 1
1.9%
12324.71 1
1.9%
11415.5 1
1.9%

Total Primaries
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178684.48
Minimum67176.64
Maximum290097.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:44.595402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum67176.64
5-th percentile80077.709
Q1119065.24
median163256.46
Q3241490.41
95-th percentile282857.26
Maximum290097.26
Range222920.62
Interquartile range (IQR)122425.17

Descriptive statistics

Standard deviation68904.971
Coefficient of variation (CV)0.38562371
Kurtosis-1.2283814
Mean178684.48
Median Absolute Deviation (MAD)53015.345
Skewness0.18699272
Sum9291592.8
Variance4.7478951 × 109
MonotonicityNot monotonic
2023-07-30T07:34:45.040557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67176.64 1
 
1.9%
69391.7 1
 
1.9%
174279.22 1
 
1.9%
186708.23 1
 
1.9%
190440.89 1
 
1.9%
196377.84 1
 
1.9%
192824.56 1
 
1.9%
201098.77 1
 
1.9%
213438.92 1
 
1.9%
218256.48 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
67176.64 1
1.9%
69391.7 1
1.9%
76197.42 1
1.9%
83252.49 1
1.9%
87620.68 1
1.9%
92426.32 1
1.9%
95862.67 1
1.9%
99707.33 1
1.9%
106543.83 1
1.9%
112225.79 1
1.9%
ValueCountFrequency (%)
290097.26 1
1.9%
285245.57 1
1.9%
284094.68 1
1.9%
281844.83 1
1.9%
280163.49 1
1.9%
279155.36 1
1.9%
275990.97 1
1.9%
274376.32 1
1.9%
274146.24 1
1.9%
267161.21 1
1.9%

Electricity
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28973.23
Minimum3930.52
Maximum58267.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:45.470037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3930.52
5-th percentile5269.7945
Q113721.525
median27455.48
Q343361.265
95-th percentile55168.142
Maximum58267.37
Range54336.85
Interquartile range (IQR)29639.74

Descriptive statistics

Standard deviation17080.256
Coefficient of variation (CV)0.58951854
Kurtosis-1.2448156
Mean28973.23
Median Absolute Deviation (MAD)14833.67
Skewness0.20693605
Sum1506608
Variance2.9173516 × 108
MonotonicityNot monotonic
2023-07-30T07:34:45.948965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3930.52 1
 
1.9%
4433.59 1
 
1.9%
30973.95 1
 
1.9%
32209.33 1
 
1.9%
33805.71 1
 
1.9%
31494.1 1
 
1.9%
32782.89 1
 
1.9%
34484.62 1
 
1.9%
36445.29 1
 
1.9%
37912.52 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
3930.52 1
1.9%
4433.59 1
1.9%
4911.64 1
1.9%
5562.83 1
1.9%
6167.09 1
1.9%
6790.51 1
1.9%
7743.87 1
1.9%
8672.98 1
1.9%
9679.9 1
1.9%
10891.93 1
1.9%
ValueCountFrequency (%)
58267.37 1
1.9%
56060.04 1
1.9%
55871.62 1
1.9%
54592.57 1
1.9%
53713.05 1
1.9%
53675.22 1
1.9%
53161.45 1
1.9%
52994.97 1
1.9%
52477.32 1
1.9%
51002.58 1
1.9%

LPG
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5739.5054
Minimum1366.82
Maximum8417.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:46.380285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1366.82
5-th percentile1728.617
Q13746.3175
median6716.84
Q37613.23
95-th percentile8314.1365
Maximum8417.14
Range7050.32
Interquartile range (IQR)3866.9125

Descriptive statistics

Standard deviation2349.1493
Coefficient of variation (CV)0.40929474
Kurtosis-1.1699854
Mean5739.5054
Median Absolute Deviation (MAD)1494.335
Skewness-0.57107257
Sum298454.28
Variance5518502.6
MonotonicityNot monotonic
2023-07-30T07:34:46.637648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1366.82 1
 
1.9%
1474.94 1
 
1.9%
7408.24 1
 
1.9%
7568.79 1
 
1.9%
7541.88 1
 
1.9%
7496.23 1
 
1.9%
7502.94 1
 
1.9%
7098.25 1
 
1.9%
7216.27 1
 
1.9%
7153.16 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1366.82 1
1.9%
1474.94 1
1.9%
1630.97 1
1.9%
1808.51 1
1.9%
1927.07 1
1.9%
2015.53 1
1.9%
2209.64 1
1.9%
2326.98 1
1.9%
2577.61 1
1.9%
2846.68 1
1.9%
ValueCountFrequency (%)
8417.14 1
1.9%
8374.82 1
1.9%
8334.03 1
1.9%
8297.86 1
1.9%
8285.61 1
1.9%
8259.68 1
1.9%
8241.55 1
1.9%
8180.8 1
1.9%
8127.81 1
1.9%
8010.86 1
1.9%

Gasoline/alcohol
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26304.485
Minimum7263.5
Maximum48761.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:46.901487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7263.5
5-th percentile10471.26
Q113351.722
median27151.145
Q335872.253
95-th percentile47690.116
Maximum48761.78
Range41498.28
Interquartile range (IQR)22520.53

Descriptive statistics

Standard deviation13163.588
Coefficient of variation (CV)0.50043132
Kurtosis-1.2210236
Mean26304.485
Median Absolute Deviation (MAD)13049.13
Skewness0.32862236
Sum1367833.2
Variance1.7328006 × 108
MonotonicityNot monotonic
2023-07-30T07:34:47.150830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7263.5 1
 
1.9%
7879.19 1
 
1.9%
31288.35 1
 
1.9%
31341.95 1
 
1.9%
30048.67 1
 
1.9%
29199.01 1
 
1.9%
27927.19 1
 
1.9%
27669.2 1
 
1.9%
29869.15 1
 
1.9%
30476.12 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
7263.5 1
1.9%
7879.19 1
1.9%
9437.87 1
1.9%
11316.76 1
1.9%
11566.66 1
1.9%
11796.4 1
1.9%
12015.11 1
1.9%
12145.63 1
1.9%
12222.15 1
1.9%
12290.91 1
1.9%
ValueCountFrequency (%)
48761.78 1
1.9%
48612.51 1
1.9%
47970.77 1
1.9%
47460.49 1
1.9%
46734.89 1
1.9%
46660.61 1
1.9%
45882.82 1
1.9%
45176.38 1
1.9%
44773.77 1
1.9%
42566.54 1
1.9%

Kerosene/jet fuel
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2577.9808
Minimum1137.63
Maximum3812.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:47.387211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1137.63
5-th percentile1473.1055
Q12238.5975
median2397.815
Q33226.5625
95-th percentile3645.551
Maximum3812.86
Range2675.23
Interquartile range (IQR)987.965

Descriptive statistics

Standard deviation668.37214
Coefficient of variation (CV)0.25926188
Kurtosis-0.57844141
Mean2577.9808
Median Absolute Deviation (MAD)392.9
Skewness0.012746074
Sum134055
Variance446721.32
MonotonicityNot monotonic
2023-07-30T07:34:47.649717image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1137.63 1
 
1.9%
1231.78 1
 
1.9%
3163.04 1
 
1.9%
3220.66 1
 
1.9%
3452.05 1
 
1.9%
3812.86 1
 
1.9%
3345.77 1
 
1.9%
2495.21 1
 
1.9%
2465.82 1
 
1.9%
2600.34 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1137.63 1
1.9%
1231.78 1
1.9%
1358.7 1
1.9%
1566.71 1
1.9%
1682.11 1
1.9%
1766.44 1
1.9%
1865.15 1
1.9%
1949.05 1
1.9%
2016.21 1
1.9%
2076 1
1.9%
ValueCountFrequency (%)
3812.86 1
1.9%
3693.62 1
1.9%
3688.44 1
1.9%
3610.46 1
1.9%
3594.61 1
1.9%
3452.05 1
1.9%
3438.59 1
1.9%
3384.19 1
1.9%
3345.77 1
1.9%
3339.9 1
1.9%

Diesel oil
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28458.981
Minimum5585.45
Maximum53662.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:47.899237image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5585.45
5-th percentile7734.5015
Q116209.275
median27300.155
Q338700.567
95-th percentile50937.024
Maximum53662.39
Range48076.94
Interquartile range (IQR)22491.292

Descriptive statistics

Standard deviation14259.029
Coefficient of variation (CV)0.50103791
Kurtosis-1.0790968
Mean28458.981
Median Absolute Deviation (MAD)11218.775
Skewness0.2301999
Sum1479867
Variance2.033199 × 108
MonotonicityNot monotonic
2023-07-30T07:34:48.155314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5585.45 1
 
1.9%
6136.71 1
 
1.9%
30105.74 1
 
1.9%
31785.15 1
 
1.9%
31716.79 1
 
1.9%
33337.95 1
 
1.9%
32726.33 1
 
1.9%
32245.61 1
 
1.9%
34405.38 1
 
1.9%
34330.23 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
5585.45 1
1.9%
6136.71 1
1.9%
7011.18 1
1.9%
8326.31 1
1.9%
9215.35 1
1.9%
10284.43 1
1.9%
11828.47 1
1.9%
12694.36 1
1.9%
13857.75 1
1.9%
15088.86 1
1.9%
ValueCountFrequency (%)
53662.39 1
1.9%
53210.29 1
1.9%
51584.05 1
1.9%
50407.64 1
1.9%
49954.3 1
1.9%
49726.02 1
1.9%
48765.11 1
1.9%
48239.36 1
1.9%
47743.16 1
1.9%
47363.62 1
1.9%

Fuel oil
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9719.1715
Minimum2787.35
Maximum17858.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:48.408872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2787.35
5-th percentile3979.391
Q17220.9575
median9851.625
Q311855.16
95-th percentile16427.224
Maximum17858.8
Range15071.45
Interquartile range (IQR)4634.2025

Descriptive statistics

Standard deviation3696.2821
Coefficient of variation (CV)0.38030835
Kurtosis-0.35254764
Mean9719.1715
Median Absolute Deviation (MAD)2521.035
Skewness0.20796935
Sum505396.92
Variance13662501
MonotonicityNot monotonic
2023-07-30T07:34:48.676816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7581.86 1
 
1.9%
9103.39 1
 
1.9%
13699.58 1
 
1.9%
12187.5 1
 
1.9%
10947.17 1
 
1.9%
10337.06 1
 
1.9%
9797.43 1
 
1.9%
8171.16 1
 
1.9%
6917.78 1
 
1.9%
7375.27 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
2787.35 1
1.9%
2885.82 1
1.9%
3592.18 1
1.9%
4296.2 1
1.9%
4743.08 1
1.9%
4988.22 1
1.9%
5124.53 1
1.9%
5294.3 1
1.9%
6213.69 1
1.9%
6349.73 1
1.9%
ValueCountFrequency (%)
17858.8 1
1.9%
17240.36 1
1.9%
17205.65 1
1.9%
15790.33 1
1.9%
15486.78 1
1.9%
13953.64 1
1.9%
13757.37 1
1.9%
13699.58 1
1.9%
13617.35 1
1.9%
12918.55 1
1.9%

Coke
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3060.6992
Minimum47.59
Maximum8195.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:48.949322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47.59
5-th percentile75.111
Q1173.64
median1053.195
Q36879.2375
95-th percentile7906.6175
Maximum8195.92
Range8148.33
Interquartile range (IQR)6705.5975

Descriptive statistics

Standard deviation3344.6911
Coefficient of variation (CV)1.0927866
Kurtosis-1.6976496
Mean3060.6992
Median Absolute Deviation (MAD)962.845
Skewness0.51243168
Sum159156.36
Variance11186959
MonotonicityNot monotonic
2023-07-30T07:34:49.229806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.77 1
 
1.9%
47.59 1
 
1.9%
1125.73 1
 
1.9%
808.28 1
 
1.9%
1068.46 1
 
1.9%
1140.61 1
 
1.9%
6776.82 1
 
1.9%
6871.13 1
 
1.9%
6974.87 1
 
1.9%
6346.23 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
47.59 1
1.9%
64.83 1
1.9%
68.28 1
1.9%
80.7 1
1.9%
86.91 1
1.9%
89.66 1
1.9%
91.04 1
1.9%
92.42 1
1.9%
102.77 1
1.9%
126.22 1
1.9%
ValueCountFrequency (%)
8195.92 1
1.9%
7986.39 1
1.9%
7924.52 1
1.9%
7891.97 1
1.9%
7873.11 1
1.9%
7794.18 1
1.9%
7751.87 1
1.9%
7720.51 1
1.9%
7507.8 1
1.9%
7241.04 1
1.9%

Charcoal
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4849.5627
Minimum1766.75
Maximum7921.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:49.513845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1766.75
5-th percentile2410.2605
Q13941.005
median4731.175
Q36108.395
95-th percentile6964.407
Maximum7921.96
Range6155.21
Interquartile range (IQR)2167.39

Descriptive statistics

Standard deviation1406.6598
Coefficient of variation (CV)0.29005909
Kurtosis-0.49197236
Mean4849.5627
Median Absolute Deviation (MAD)1016.495
Skewness-0.049587968
Sum252177.26
Variance1978691.7
MonotonicityNot monotonic
2023-07-30T07:34:49.768048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1766.75 1
 
1.9%
2012.13 1
 
1.9%
4219.33 1
 
1.9%
4989.55 1
 
1.9%
5457.03 1
 
1.9%
4978.94 1
 
1.9%
4867.1 1
 
1.9%
5730.34 1
 
1.9%
6514.45 1
 
1.9%
6423.45 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
1766.75 1
1.9%
2012.13 1
1.9%
2331.77 1
1.9%
2474.48 1
1.9%
3086 1
1.9%
3347.52 1
1.9%
3403.06 1
1.9%
3483.13 1
1.9%
3573.33 1
1.9%
3689.77 1
1.9%
ValueCountFrequency (%)
7921.96 1
1.9%
7114.78 1
1.9%
7083.68 1
1.9%
6866.82 1
1.9%
6680.84 1
1.9%
6514.45 1
1.9%
6505.85 1
1.9%
6426.26 1
1.9%
6423.45 1
1.9%
6374.52 1
1.9%

Gases
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1461.2056
Minimum410.08
Maximum2097.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:50.033037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum410.08
5-th percentile466.379
Q11088.835
median1626.15
Q31825.6275
95-th percentile2032.4185
Maximum2097.5
Range1687.42
Interquartile range (IQR)736.7925

Descriptive statistics

Standard deviation498.48917
Coefficient of variation (CV)0.34114924
Kurtosis-0.43439062
Mean1461.2056
Median Absolute Deviation (MAD)237.8
Skewness-0.87603869
Sum75982.69
Variance248491.45
MonotonicityNot monotonic
2023-07-30T07:34:50.289594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
410.08 1
 
1.9%
423.03 1
 
1.9%
1567.37 1
 
1.9%
1445.42 1
 
1.9%
1508.72 1
 
1.9%
1444.61 1
 
1.9%
1397.38 1
 
1.9%
1405.11 1
 
1.9%
1492.1 1
 
1.9%
1643.04 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
410.08 1
1.9%
423.03 1
1.9%
440.43 1
1.9%
487.61 1
1.9%
501.05 1
1.9%
592.3 1
1.9%
716.44 1
1.9%
819.72 1
1.9%
864.46 1
1.9%
882.84 1
1.9%
ValueCountFrequency (%)
2097.5 1
1.9%
2060.14 1
1.9%
2034.14 1
1.9%
2031.01 1
1.9%
1974.67 1
1.9%
1961.76 1
1.9%
1952.32 1
1.9%
1931.13 1
1.9%
1911.91 1
1.9%
1906.4 1
1.9%

Other secondary
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6416.4737
Minimum286.68
Maximum13780.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:50.546596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum286.68
5-th percentile648.3025
Q12477.305
median4492.23
Q311169.037
95-th percentile13127.482
Maximum13780.52
Range13493.84
Interquartile range (IQR)8691.7325

Descriptive statistics

Standard deviation4537.6379
Coefficient of variation (CV)0.70718563
Kurtosis-1.5855918
Mean6416.4737
Median Absolute Deviation (MAD)3621.945
Skewness0.24012842
Sum333656.63
Variance20590158
MonotonicityNot monotonic
2023-07-30T07:34:50.818328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
286.68 1
 
1.9%
593.99 1
 
1.9%
5971.86 1
 
1.9%
7446.65 1
 
1.9%
8782.57 1
 
1.9%
9527.96 1
 
1.9%
9316.27 1
 
1.9%
9458.84 1
 
1.9%
9615.31 1
 
1.9%
9678.98 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
286.68 1
1.9%
570.54 1
1.9%
593.99 1
1.9%
692.74 1
1.9%
1047.83 1
1.9%
1060.02 1
1.9%
1248.89 1
1.9%
1366.68 1
1.9%
1772.87 1
1.9%
2096.36 1
1.9%
ValueCountFrequency (%)
13780.52 1
1.9%
13646.3 1
1.9%
13135.05 1
1.9%
13121.29 1
1.9%
12925.39 1
1.9%
12494.87 1
1.9%
12246.77 1
1.9%
12088.32 1
1.9%
11683.42 1
1.9%
11648.7 1
1.9%

Non-energy
Real number (ℝ)

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4240.0798
Minimum1173.62
Maximum8349.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:51.088639image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1173.62
5-th percentile1238.57
Q12971.16
median3647.49
Q35993.64
95-th percentile7755.834
Maximum8349.04
Range7175.42
Interquartile range (IQR)3022.48

Descriptive statistics

Standard deviation1977.9847
Coefficient of variation (CV)0.46649705
Kurtosis-0.71363807
Mean4240.0798
Median Absolute Deviation (MAD)916.365
Skewness0.54279734
Sum220484.15
Variance3912423.6
MonotonicityNot monotonic
2023-07-30T07:34:51.379138image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1238.57 2
 
3.8%
1201.77 1
 
1.9%
5958.11 1
 
1.9%
4095.36 1
 
1.9%
4431.89 1
 
1.9%
3839.13 1
 
1.9%
4565.89 1
 
1.9%
4202.79 1
 
1.9%
4164.17 1
 
1.9%
4561.82 1
 
1.9%
Other values (41) 41
78.8%
ValueCountFrequency (%)
1173.62 1
1.9%
1201.77 1
1.9%
1238.57 2
3.8%
2002.12 1
1.9%
2118.99 1
1.9%
2267.92 1
1.9%
2457.26 1
1.9%
2680.46 1
1.9%
2799.73 1
1.9%
2945.9 1
1.9%
ValueCountFrequency (%)
8349.04 1
1.9%
8249.79 1
1.9%
7874.26 1
1.9%
7658.94 1
1.9%
7330.65 1
1.9%
7076.12 1
1.9%
6949.36 1
1.9%
6859.7 1
1.9%
6754.18 1
1.9%
6725.34 1
1.9%

Total Secundaries
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121801.38
Minimum30633.82
Maximum210532.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:51.664970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum30633.82
5-th percentile42169.924
Q173731.175
median118877.52
Q3166023.08
95-th percentile203471.57
Maximum210532.83
Range179899.01
Interquartile range (IQR)92291.9

Descriptive statistics

Standard deviation54236.173
Coefficient of variation (CV)0.44528374
Kurtosis-1.2302805
Mean121801.38
Median Absolute Deviation (MAD)45819.645
Skewness0.12271393
Sum6333671.5
Variance2.9415624 × 109
MonotonicityNot monotonic
2023-07-30T07:34:51.926929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30633.82 1
 
1.9%
34509.96 1
 
1.9%
133901.12 1
 
1.9%
137098.66 1
 
1.9%
138760.94 1
 
1.9%
136608.46 1
 
1.9%
141006.01 1
 
1.9%
139832.26 1
 
1.9%
146080.59 1
 
1.9%
148501.16 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
30633.82 1
1.9%
34509.96 1
1.9%
38477.46 1
1.9%
45191.03 1
1.9%
50406.2 1
1.9%
54094.59 1
1.9%
59009.05 1
1.9%
61194.93 1
1.9%
67462.37 1
1.9%
70457.94 1
1.9%
ValueCountFrequency (%)
210532.83 1
1.9%
204357.8 1
1.9%
204098.32 1
1.9%
202958.78 1
1.9%
200056.9 1
1.9%
198860.9 1
1.9%
196779.64 1
1.9%
195662.77 1
1.9%
195390.29 1
1.9%
191993.97 1
1.9%

Total
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183499.75
Minimum66742.4
Maximum305591.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size548.0 B
2023-07-30T07:34:52.198316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum66742.4
5-th percentile78879.99
Q1114996.76
median176215.29
Q3244770.93
95-th percentile297619.55
Maximum305591.67
Range238849.27
Interquartile range (IQR)129774.17

Descriptive statistics

Standard deviation74556.367
Coefficient of variation (CV)0.40630227
Kurtosis-1.2237041
Mean183499.75
Median Absolute Deviation (MAD)62957.38
Skewness0.2202058
Sum9541987.2
Variance5.5586518 × 109
MonotonicityNot monotonic
2023-07-30T07:34:52.450747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66742.4 1
 
1.9%
70092.03 1
 
1.9%
186424.37 1
 
1.9%
198172.81 1
 
1.9%
201048.77 1
 
1.9%
204346.55 1
 
1.9%
199384.34 1
 
1.9%
202599.4 1
 
1.9%
213381.88 1
 
1.9%
218842.68 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
66742.4 1
1.9%
70092.03 1
1.9%
75111.33 1
1.9%
81963.44 1
1.9%
87628.2 1
1.9%
91211.72 1
1.9%
95938.52 1
1.9%
99416.35 1
1.9%
105367.89 1
1.9%
109797.03 1
1.9%
ValueCountFrequency (%)
305591.67 1
1.9%
299577.81 1
1.9%
298402.5 1
1.9%
296978.95 1
1.9%
295192.45 1
1.9%
294744.15 1
1.9%
290908.11 1
1.9%
289705.92 1
1.9%
286990.01 1
1.9%
283941.63 1
1.9%

Interactions

2023-07-30T07:34:33.439502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:30.308498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:38.679337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:43.741713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:49.244004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:54.078929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:59.983398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:04.635342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:09.680158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:15.073004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:19.788672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:31.208446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:35.852016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:41.802045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:46.390021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:51.495814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:56.687134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:01.535803image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:07.513349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:12.170245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:16.965409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:22.756006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:27.451633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:33.826988image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:31.032774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:39.077484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:44.409703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:49.657401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:54.474617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:00.333684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:05.028626image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:10.268559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:15.506846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:20.219332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:31.635219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:36.281405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:42.200533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:46.788124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:52.166816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:57.128756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:01.949765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:07.928502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:12.585882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:17.631530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:23.158381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:27.856628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:33.985051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:31.480374image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:39.231452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:44.727485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:49.833797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:54.637369image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:00.499440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:05.233453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:10.574830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:15.668051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:20.373238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:31.797673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:36.502191image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:42.369449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:46.938187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:52.459053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:57.303002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:02.142497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:08.094024image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:12.749113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:17.928186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:23.321117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:28.027001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:34.197692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:31.948838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:39.450625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:45.097076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:50.057567image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:54.851586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:00.694698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:05.437746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:10.897117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:15.866712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:20.569063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:32.010892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:36.830633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:42.568487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:47.143498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:52.808845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:57.509568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:02.347955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:08.317050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:12.947557image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:18.262456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:23.528034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:28.240946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:34.396666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:32.302248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:39.639484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:45.318116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:50.277983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:55.054466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:00.884019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:05.645909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:11.158133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:16.069713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:20.774595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:32.218085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:37.103005image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:42.767056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:47.341448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:53.131475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:57.730275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:02.553915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:08.524601image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:13.149287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:18.598565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:23.738307image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:28.468535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:34.588932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:32.631089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:39.822670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:45.514391image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:50.497135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:55.352802image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:01.072551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:05.833761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:11.482297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:16.278579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:20.960000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:32.404513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:37.409951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:42.948089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:47.535024image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:53.308213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:57.941001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:02.757449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:08.724632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:13.344058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:18.883702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:23.937550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:28.666636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:34.763182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:32.911300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:39.998571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:45.698231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:50.674337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:55.642374image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:01.229508image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:06.010769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:11.792512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:16.466418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:21.228300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:32.579859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:37.652127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:43.140891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:47.710382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:53.494137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:58.106161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:02.928499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:08.882620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:13.518527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:19.175795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:24.098238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:28.869448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:34.946482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:33.257319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:40.177585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:45.900611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:50.875937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:55.932744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:01.408773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:06.211964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:12.085159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:16.672418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:21.572477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:32.792165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:37.962878image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:43.332932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:47.903705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:53.687299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:58.297585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:03.175059image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:09.068513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:13.705107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:19.514479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:24.292187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:29.064690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:35.115427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:33.579157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:40.360190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:46.088374image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:51.069669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:56.210709image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:01.578213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:06.390365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:12.265218image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:16.847716image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:21.905629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:32.977907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:38.286238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:43.505180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:48.066390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:53.863977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:58.484262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:03.477160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:09.255465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:13.875785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:19.828942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:24.481497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:29.261706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:35.304705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:33.895547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:40.535140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:46.300605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:51.268077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:56.463758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:01.768323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:06.581418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:12.446351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:17.023595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:22.246687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:33.169583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:38.601460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:43.687505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:48.242126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:54.046884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:58.685627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:03.698733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:09.431458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:14.051236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:20.014422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:24.665173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:29.463065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:35.463882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:34.238544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:40.689135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:46.482004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:51.452343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:56.754430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:01.959954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:06.765713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:12.620659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:17.192730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:22.632473image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:33.350897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:38.927924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:43.868155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:48.403169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:54.215566image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:58.869838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:03.982269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:09.605513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:14.222090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:20.192719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:24.872267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:29.649845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:35.631091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:34.563420image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:40.854956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:46.691050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:51.642143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:57.079849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:02.121690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:06.950884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:12.787744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:17.369060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:23.141764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:33.540685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:39.266617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:44.061196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:48.601017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:54.390299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:59.088480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:04.314453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:09.783285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:14.419818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:20.377488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:25.057776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:29.865515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:35.811758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:34.886163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:41.033663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:46.893731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:51.859215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:57.392822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:02.285569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:07.150444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:12.974581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:17.579107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:23.707349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:33.725672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:39.609269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:44.242882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:48.801444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:54.578089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:59.282054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:04.641109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:09.975864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:14.609536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:20.588764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:25.254723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:30.205675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:35.976359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:35.229628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:41.191172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:47.091496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:52.044110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:57.615000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:02.491538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:07.341078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:13.160395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:17.761158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:24.327234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:33.898859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:39.871733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:44.444780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:48.967287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:54.743774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:59.463271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:04.925804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:10.152010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:14.797631image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:20.781656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:25.445673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:30.503077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:36.148438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:35.559271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:41.361134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:47.293228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:52.242584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:57.878640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:02.685048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:07.524269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:13.326251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:17.965366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:24.837862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:34.095714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:40.053130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:44.621227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:49.148561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:54.930944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:59.648296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:05.243713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:10.376987image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:14.976773image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:20.959600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:25.630537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:30.794703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:36.321630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:35.880006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:41.542983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:47.513881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:52.430016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:58.206068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:02.889410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:07.716195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:13.516613image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:18.137037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:25.394842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:34.276149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:40.221020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:44.807917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:49.328693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:55.103069image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:59.837242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:05.536744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:10.552463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:15.146381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:21.137176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:25.812927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:31.101739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:36.509180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:36.238177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:41.725281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:47.730155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:52.651110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:58.549606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:03.062741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:07.920343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:13.710613image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:18.355759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:25.936706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:34.479500image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:40.425611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:45.002672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:49.534781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:55.304383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:00.070981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:05.852852image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:10.747436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:15.348376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:21.335923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:26.028400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:31.443686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:36.703621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:36.602728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:41.950927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:47.952262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:52.865621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:58.786651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:03.278625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:08.142860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:13.914193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:18.594616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:26.400518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:34.676281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:40.642881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:45.203670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:49.743177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:55.514753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:00.281685image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:06.188311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:10.945066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:15.574938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:21.535585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:26.242746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:31.749845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:36.893039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:36.943853image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:42.260952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:48.166856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:53.065506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:58.992759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:03.573418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:08.368614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:14.102987image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:18.766726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:26.798992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:34.861788image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:40.827650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:45.387886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:49.975515image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:55.711871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:00.489761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:06.514037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:11.154363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:15.781101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:21.737215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:26.429404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:32.081220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:37.076230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:37.290836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:42.560558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:48.382015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:53.275054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:59.186197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:03.853692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:08.559877image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:14.285621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:18.984640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:27.053552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:35.056324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:41.021636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:45.592872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:50.294267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:55.912425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:00.699314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:06.702973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:11.383196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:15.965893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:21.945872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:26.617550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:32.343067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:37.269176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:37.635257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:42.879821image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:48.621489image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:53.473579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:59.394395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:04.051535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:08.800705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:14.497462image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:19.176996image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:27.322455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:35.274429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:41.217970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:45.800379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:50.629030image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:56.107659image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:00.909972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:06.915982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:11.587731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:16.174266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:22.158975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:26.834131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:32.644854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:37.455933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:37.991617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:43.193799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:48.840366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:53.669851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:59.592836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:04.247065image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:09.075869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:14.691687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:19.380621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:30.835070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:35.464270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:41.430144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:45.998632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:50.869106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:56.300925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:01.126868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:07.115690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:11.792379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:16.395376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:22.358516image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:27.041632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:33.002504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:37.647011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:38.356815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:43.518759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:49.058008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:53.884739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:32:59.812512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:04.436062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:09.382607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:14.886212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:19.613512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:31.043324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:35.672078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:41.630987image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:46.235780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:51.198925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:33:56.511439image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:01.342788image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:07.326403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:11.989771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:16.654665image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:22.558781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:27.243778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2023-07-30T07:34:33.260394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2023-07-30T07:34:52.694923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
Year1.0000.9670.9920.7820.9710.910-0.7910.9870.9990.9930.9990.9790.9800.7840.992-0.7490.9350.1380.8210.9680.9290.9890.992
Oil0.9671.0000.9750.7640.9650.879-0.7800.9540.9650.9810.9680.9710.9630.8140.982-0.6900.9390.1750.8040.9850.9490.9830.981
Natural gas0.9920.9751.0000.7880.9630.912-0.7920.9800.9920.9950.9920.9830.9850.8090.993-0.7310.9410.1480.8310.9810.9320.9940.997
Coal0.7820.7640.7881.0000.7360.398-0.6160.7450.7810.7930.7850.8260.8030.7560.792-0.4450.7160.2770.6930.7700.6630.7920.802
Hydroenergy0.9710.9650.9630.7361.0000.878-0.7770.9620.9700.9670.9720.9550.9620.8130.968-0.7270.9240.1900.8180.9750.9340.9670.964
Nuclear0.9100.8790.9120.3980.8781.000-0.7020.8840.9030.9030.9030.8980.8940.7270.905-0.8140.892-0.6720.4930.8960.8900.9110.912
Firewood-0.791-0.780-0.792-0.616-0.777-0.7021.000-0.796-0.791-0.791-0.789-0.811-0.818-0.785-0.7900.446-0.8000.215-0.481-0.792-0.777-0.795-0.790
Sugarcane and products0.9870.9540.9800.7450.9620.884-0.7961.0000.9860.9820.9840.9630.9730.7620.978-0.7390.9230.1370.8210.9600.9200.9750.977
Other Primary_x000d_\n0.9990.9650.9920.7810.9700.903-0.7910.9861.0000.9920.9980.9780.9790.7820.991-0.7480.9350.1380.8200.9670.9280.9880.991
Total Primaries0.9930.9810.9950.7930.9670.903-0.7910.9820.9921.0000.9940.9850.9820.8010.998-0.7330.9370.1480.8180.9800.9370.9960.998
Electricity0.9990.9680.9920.7850.9720.903-0.7890.9840.9980.9941.0000.9800.9810.7850.993-0.7440.9340.1410.8230.9680.9320.9900.992
LPG0.9790.9710.9830.8260.9550.898-0.8110.9630.9780.9850.9801.0000.9830.8330.984-0.6880.9190.1300.8000.9700.9310.9830.984
Gasoline/alcohol0.9800.9630.9850.8030.9620.894-0.8180.9730.9790.9820.9810.9831.0000.8240.980-0.6920.9200.1140.8220.9730.9270.9840.985
Kerosene/jet fuel0.7840.8140.8090.7560.8130.727-0.7850.7620.7820.8010.7850.8330.8241.0000.804-0.4220.7910.1590.6260.8470.8100.8170.813
Diesel oil0.9920.9820.9930.7920.9680.905-0.7900.9780.9910.9980.9930.9840.9800.8041.000-0.7300.9400.1500.8200.9790.9400.9960.996
Fuel oil-0.749-0.690-0.731-0.445-0.727-0.8140.446-0.739-0.748-0.733-0.744-0.688-0.692-0.422-0.7301.000-0.693-0.001-0.635-0.708-0.644-0.721-0.729
Coke0.9350.9390.9410.7160.9240.892-0.8000.9230.9350.9370.9340.9190.9200.7910.940-0.6931.0000.0650.7820.9340.8930.9450.940
Charcoal0.1380.1750.1480.2770.190-0.6720.2150.1370.1380.1480.1410.1300.1140.1590.150-0.0010.0651.0000.3270.1800.1060.1460.146
Gases0.8210.8040.8310.6930.8180.493-0.4810.8210.8200.8180.8230.8000.8220.6260.820-0.6350.7820.3271.0000.8240.7440.8240.824
Other secondary0.9680.9850.9810.7700.9750.896-0.7920.9600.9670.9800.9680.9700.9730.8470.979-0.7080.9340.1800.8241.0000.9360.9830.983
Non-energy0.9290.9490.9320.6630.9340.890-0.7770.9200.9280.9370.9320.9310.9270.8100.940-0.6440.8930.1060.7440.9361.0000.9460.937
Total Secundaries0.9890.9830.9940.7920.9670.911-0.7950.9750.9880.9960.9900.9830.9840.8170.996-0.7210.9450.1460.8240.9830.9461.0000.997
Total0.9920.9810.9970.8020.9640.912-0.7900.9770.9910.9980.9920.9840.9850.8130.996-0.7290.9400.1460.8240.9830.9370.9971.000

Missing values

2023-07-30T07:34:37.960400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-07-30T07:34:38.577212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

283YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
1197025664.25180.022235.393421.52NaN31851.533600.70223.2467176.643930.521366.827263.501137.635585.457581.86102.771766.75410.08286.681201.7730633.8266742.40
2197127222.25279.112294.863713.63NaN31807.223841.81232.8269391.704433.591474.947879.191231.786136.719103.3947.592012.13423.03593.991173.6234509.9670092.03
3197232473.41313.002311.254356.82NaN32143.134298.39301.4376197.424911.641630.979437.871358.707011.189404.38141.392331.77440.43570.541238.5738477.4675111.33
4197338778.41358.062287.084976.55NaN31897.404644.41310.5883252.495562.831808.5111316.761566.718326.3111625.4691.042474.48487.61692.741238.5745191.0381963.44
5197441479.10544.452384.825646.13NaN32598.644618.65348.8987620.686167.091927.0711796.401682.119215.3512840.47140.703086.00501.051047.832002.1250406.2087628.20
6197545053.52605.782856.776214.20NaN33153.944179.51362.6192426.326790.512015.5312015.111766.4410284.4313617.35144.153689.77592.301060.022118.9954094.5991211.72
7197647754.60675.453263.407127.67NaN31881.904748.01411.6495862.677743.872209.6412145.631949.0511828.4715486.7864.833347.52716.441248.892267.9259009.0595938.52
8197749055.76810.553973.718036.06NaN30822.136538.73470.3999707.338672.982326.9811566.662016.2112694.3615790.3380.703403.06819.721366.682457.2661194.9399416.35
9197854691.50981.744361.188832.62NaN29794.277321.94560.58106543.839679.902577.6112653.742076.0013857.7517205.65315.203483.13864.461772.872976.0567462.37105367.89
10197956915.651029.504808.2510021.87NaN30374.668254.13821.72112225.7910891.932846.6813331.752347.0515088.8617858.80266.234101.11937.332142.993786.6673599.40112106.28
283YearOilNatural gasCoalHydroenergyNuclearFirewoodSugarcane and productsOther Primary_x000d_Total PrimariesElectricityLPGGasoline/alcoholKerosene/jet fuelDiesel oilFuel oilCokeCharcoalGasesOther secondaryNon-energyTotal SecundariesTotal
432012101272.5129816.5313940.1235737.544179.7025639.4945159.8311415.50267161.2151002.588010.8644773.773693.6248765.115294.307986.394706.911961.7612925.397658.94196779.64283941.63
442013107825.8335013.3915120.7533642.364026.2824538.7049352.8112324.71281844.8352477.328334.0346660.613610.4651584.056213.697794.184259.851903.0613646.307874.26204357.80296978.95
452014110415.0639013.7216292.1632028.394007.7224871.3449278.6714190.20290097.2653713.058417.1447460.493594.6153210.298141.767720.514193.111952.3213780.528349.04210532.83305591.67
462015104551.9839028.9016006.7030853.723839.8124456.0450472.2216036.20285245.5752994.978297.8647970.773293.1350407.646409.567873.113949.531872.9813135.056754.18202958.78299577.81
47201695524.2935480.4315134.5532677.114134.3423037.7550706.5017681.35274376.3253161.458374.8246734.893339.9047363.624988.227100.903573.331805.1612088.326859.70195390.29289705.92
48201791129.5937844.1615767.8031818.864101.7324362.9349772.2519348.92274146.2453675.228259.6848761.783244.2747743.164743.087751.873697.352031.0112494.876458.61198860.90294744.15
49201889172.6635816.0715477.6833368.564084.7125447.6850943.3721680.23275990.9754592.578180.8045882.823384.1948239.363592.187891.973872.592097.5011257.256671.55195662.77290908.11
50201989323.4335820.4214574.7334132.584203.2725661.4252911.2722528.24279155.3655871.628127.8148612.513312.9349726.022885.827241.043993.211911.9111648.706725.34200056.90295192.45
51202093289.8230121.2012947.4234004.253665.6725646.5855650.2624838.28280163.4956060.048285.6142566.541865.1549954.302787.356903.564005.351757.7310732.217076.12191993.97286990.01
52202193340.7836350.9215917.2131125.013835.7526017.9549469.7428037.32284094.6858267.378241.5545176.382461.7653662.394296.207924.523915.432060.1411143.236949.36204098.32298402.50